搜索结果: 1-15 共查到“Probabilistic”相关记录51条 . 查询时间(0.093 秒)
Despite their enormous size and power, today's artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestri...
A probabilistic model for heading judgments from converging elements
optical flow motion parallax wayfinding
2015/8/13
This paper describes the mathematical basis and application of a probabilistic model for recovering the direction of camera trans-lation (heading) from optical flow. According to the theorem that head...
Data Cube Approximation and Mining using Probabilistic Modeling
data cubes OLAP data warehouses multidimensional data non-negative multi-way array factorization log-linear modeling
2015/7/29
On-line Analytical Processing (OLAP) techniques commonly used in data warehouses allow the exploration of data cubes according to different analysis axes (dimensions) and under different abstraction l...
Fast&Confident Probabilistic Categorization
Text categorization probabilistic model confidence estimation multi-label categorization category description
2015/7/29
We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilisti...
Multiple critical behavior of probabilistic limit theorems in the neighborhood of a tricritical point
Complex structures the transition phase Blume - Emery - Griffiths model spin moderate deviation the total spin
2014/12/25
We derive probabilistic limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume–Emery–Griffiths model [Phys. Rev. A 4 (1971) 1071–1077]. These ...
Probabilistic Models for Motion Segmentation in Image Sequences
Computer vision Motion segmentation Object detection Optical flow Surveillance Tracking
2014/12/18
Motion segmentation is the task of assigning a binary label to every pixel in an image sequence specifying whether it is a moving foreground object or stationary background. It is often an important t...
A Probabilistic Model of Hierarchical Music Analysis
computational music analysis computational music theory machine learning music informatics Schenkerian analysis
2014/12/18
Schenkerian music theory supposes that Western tonal compositions can be viewed as hierarchies of musical objects. The process of Schenkerian analysis reveals this hierarchy by identifying connections...
Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology
spoken dialogue systems speech interfaces POMDPs
2014/11/27
People with motor disabilities often face substantial challenges using interfaces designed for manual interaction. Although such obstacles might be partially alleviated by automatic speech recognition...
Probabilistic Analysis of Offshore Wind Turbine Soil-Structure Interaction
Offshore Wind Turbine Soil-Structure Interaction
2014/10/22
A literature review of current design and analysis methods for offshore wind turbine (OWT) foundations is presented, focusing primarily on the monopile foundation. Laterally loaded monopile foundation...
Comparison of nonhomogeneous regression models for probabilistic wind speed forecasting
Comparison nonhomogeneous regression models probabilistic wind speed forecasting
2013/6/14
In weather forecasting, nonhomogeneous regression is used to statistically postprocess forecast ensembles in order to obtain calibrated predictive distributions. For wind speed forecasts, the regressi...
Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
Bayesian model averaging continuous ranked probability score ensemble calibration truncated normal distribution
2013/6/13
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction models, in order to ...
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Bayesian Inference Model Averaging K-free model order estimation
2013/6/14
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
ground truth multi-annotator ordinal data a probabilistic approach
2013/6/13
A popular approach for large scale data annotation tasks is crowdsourcing, wherein each data point is labeled by multiple noisy annotators. We consider the problem of inferring ground truth from noisy...
A Unified Framework for Probabilistic Component Analysis
A Unified Framework Probabilistic Component Analysis
2013/5/2
In this paper, we present a unifying framework which reduces the construction of probabilistic component analysis techniques to a mere selection of the latent neighbourhood via the prior, thus providi...
Probabilistic temperature forecasting with statistical calibration in Hungary
Probabilistic temperature forecasting with statistical calibration in Hungary
2013/4/27
Weather forecasting is mostly based on the outputs of deterministic numerical weather forecasting models. Multiple runs of these models with different initial conditions result in forecast ensembles w...